Abstract

I will present recent advances in visual traffic scene understanding, covering topics such as online action detection, atomic activity recognition, risk object identification, and the corresponding datasets and benchmarks developed for intelligent driving systems. Through our work on algorithms and datasets, we identify a synergy at the intersection of egocentric computer vision, child development, and robotics. This leads us to explore robotic food manipulation, where we develop solutions leveraging active perception, diffusion model-based manipulation policies, and high-fidelity simulation. More recently, we begin investigating how to build computational models that embed emotion into visual experience. In this talk, I will share my findings in these explorations.  

Bio.

Yi-Ting is an associate professor in the Department of Computer Science at National Yang Ming Chiao Tung University. He received his Ph.D. degree in Electrical and Computer Engineering from Purdue University. He worked as a senior research scientist at Honda Research Institute USA. His research lies in Human-centered physical AI, intelligent driving systems and assistive robotics. He is a recipient of the NSTC 2030 International Outstanding Scholar Program in 2024 and NYCU CS Outstanding Young Scholar Award in 2024.  

 

All faculty and students are welcome to join.